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Dolphincoder Starcoder2 15B by cognitivecomputations

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Dolphincoder Starcoder2 15B is an open-source language model by cognitivecomputations. Features: 15b LLM, VRAM: 31.9GB, Context: 16K, License: bigcode-openrail-m, Instruction-Based, LLM Explorer Score: 0.13.

  Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Dataset:jondurbin/airoboros-2....   Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil...   Dataset:teknium/openhermes   En   Endpoints compatible   Instruct   Pytorch   Region:us   Sharded   Starcoder2
Model Card on HF 🤗: https://huggingface.co/dphn/dolphincoder-starcoder2-15b 

Dolphincoder Starcoder2 15B Benchmarks

LLME Score: 0.13449
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphincoder Starcoder2 15B (dphn/dolphincoder-starcoder2-15b)
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Dolphincoder Starcoder2 15B Parameters and Internals

LLM NameDolphincoder Starcoder2 15B
Repository 🤗https://huggingface.co/dphn/dolphincoder-starcoder2-15b 
Model Size15b
Required VRAM31.9 GB
Updated2026-04-25
Maintainercognitivecomputations
Model Typestarcoder2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   5.0 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   2.0 GB: 7-of-7
Supported Languagesen
Model ArchitectureStarcoder2ForCausalLM
Licensebigcode-openrail-m
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size49154
Torch Data Typebfloat16

Best Alternatives to Dolphincoder Starcoder2 15B

Best Alternatives
Context / RAM
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Likes
Starcoder2 15B Instruct V0.116K / 31.9 GB1150105
Starcoder2 15B Instruct V0.116K / 53.4 GB160
Dolphincoder Starcoder2 15B16K / 31.9 GB8469
Starcoder2 15B Instruct16K / 31.9 GB347
...rCoder2 15B Instruct V0.1 GGUF16K / 6.2 GB940
...rCoder2 15B Instruct V0.1 GGUF16K / 6.2 GB610
Starcoder2 15B Instruct GPTQ16K / 9.2 GB832
Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphincoder-starcoder2-15b.

Rank the Dolphincoder Starcoder2 15B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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